Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1945 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0116. Min Act: -0.0003

Data Index: 999050 (C4 (Web Text))

Max Activating Token Index: 882

Text #1

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Max Activating Token Index: 579

Text #2

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Max Act: 0.0115. Min Act: -0.0004

Data Index: 1154628 (C4 (Web Text))

Max Activating Token Index: 193

Text #3

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Max Act: 0.0112. Min Act: -0.0004

Data Index: 85803 (C4 (Web Text))

Max Activating Token Index: 505

Text #4

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Max Activating Token Index: 800

Text #5

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Max Activating Token Index: 663

Text #6

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Max Activating Token Index: 746

Text #7

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Text #8

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Max Activating Token Index: 903

Text #9

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Max Activating Token Index: 985

Text #10

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Max Activating Token Index: 541

Text #11

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Max Activating Token Index: 525

Text #12

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Max Activating Token Index: 858

Text #13

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Max Activating Token Index: 862

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1210243 (C4 (Web Text))

Max Activating Token Index: 48